A Stochastic Bilevel Model to Manage Active Distribution Networks With Multi-Microgrids
| Autor: | SeyedJalal SeyedShenava, Adel Akbarimajd, Javier Contreras, Amir Naebi Toutounchi |
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| Rok vydání: | 2019 |
| Předmět: |
Mathematical optimization
021103 operations research Distribution networks Computer Networks and Communications Computer science Energy management Stochastic process 0211 other engineering and technologies Linear model High voltage 02 engineering and technology Grid Computer Science Applications Scheduling (computing) Control and Systems Engineering Linearization Electrical and Electronic Engineering Information Systems |
| Zdroj: | IEEE Systems Journal. 13:4190-4199 |
| ISSN: | 2373-7816 1932-8184 |
| DOI: | 10.1109/jsyst.2018.2890062 |
| Popis: | This paper proposes a two-stage stochastic bilevel model for energy management of an active distribution network with multi-microgrids. The distribution network operator connected to the upstream high voltage grid and interacting with multi-microgrids has the task of scheduling the whole system to feed loads, providing safe operation and dealing with uncertainty due to changes in the loads and renewable generation. The multi-microgrids connected to the nodes of the distribution system aim to schedule their productions to feed their internal loads and exchange power with the distribution network operator in both day-ahead and real-time frames. With this purpose, a bilevel model is presented for modeling the interaction between the distribution network operator and the multi-microgrids in which the distribution network operator is located at the upper level and all multi-microgrids at the lower level. The proposed bilevel model is formulated as a mathematical program with equilibrium constraints that is transformed into a mixed-integer linear model through Karush–Kuhn–Tucker conditions and linearization rules. A case study illustrates the effectiveness of the proposed methodology. |
| Databáze: | OpenAIRE |
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